Journal article
A method for analyzing AFM force mapping data obtained from soft tissue cryosections
Journal of biomechanics, Vol.168, 112113
05/01/2024
DOI: 10.1016/j.jbiomech.2024.112113
PMCID: PMC11128031
PMID: 38648717
Abstract
Atomic force microscopy (AFM) is a valuable tool for assessing mechanical properties of biological samples, but interpretations of measurements on whole tissues can be difficult due to the tissue’s highly heterogeneous nature. To overcome such difficulties and obtain more robust estimates of tissue mechanical properties, we describe an AFM force mapping and data analysis pipeline to characterize the mechanical properties of cryosectioned soft tissues. We assessed this approach on mouse optic nerve head and rat trabecular meshwork, cornea, and sclera. Our data show that the use of repeated measurements, outlier exclusion, and log-normal data transformation increases confidence in AFM mechanical measurements, and we propose that this methodology can be broadly applied to measuring soft tissue properties from cryosections.
Details
- Title: Subtitle
- A method for analyzing AFM force mapping data obtained from soft tissue cryosections
- Creators
- Cydney A. Wong - The Wallace H. Coulter Department of Biomedical EngineeringNina Sara Fraticelli Guzmán - Georgia Institute of TechnologyA. Thomas Read - The Wallace H. Coulter Department of Biomedical EngineeringAdam Hedberg-Buenz - University of IowaMichael G. Anderson - University of IowaAndrew J. Feola - Emory UniversityTodd Sulchek - Georgia Institute of TechnologyC. Ross Ethier - The Wallace H. Coulter Department of Biomedical Engineering
- Resource Type
- Journal article
- Publication Details
- Journal of biomechanics, Vol.168, 112113
- DOI
- 10.1016/j.jbiomech.2024.112113
- PMID
- 38648717
- PMCID
- PMC11128031
- NLM abbreviation
- J Biomech
- ISSN
- 0021-9290
- eISSN
- 1873-2380
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 05/01/2024
- Academic Unit
- Molecular Physiology and Biophysics; Ophthalmology and Visual Sciences
- Record Identifier
- 9984618627302771
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